A deep learning model based on dynamic contrast-enhanced magnetic resonance imaging enables accurate prediction of benign and malignant breast lessons

OBJECTIVES: The study aims to investigate the value of a convolutional neural network (CNN) based on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in predicting malignancy of breast lesions. METHODS: We developed a CNN model based on DCE-MRI to characterize breast lesions. Between N...

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Detalles Bibliográficos
Autores principales: Chen, Yanhong, Wang, Lijun, Luo, Ran, Wang, Shuang, Wang, Heng, Gao, Fei, Wang, Dengbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353744/
https://www.ncbi.nlm.nih.gov/pubmed/35936673
http://dx.doi.org/10.3389/fonc.2022.943415

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353744/
https://www.ncbi.nlm.nih.gov/pubmed/35936673
http://dx.doi.org/10.3389/fonc.2022.943415

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